基于噪声分布特性的压缩视频超分辨率重建  

Super-Resolution Reconstruction of Compressed Video Based on Noise Distribution Property

作　　者：徐忠强[1] 朱秀昌[1] 

机构地区：[1]南京邮电大学图像处理与图像通信信息产业部和江苏省重点实验室,南京210003

出　　处：《电子与信息学报》2008年第3期752-755,共4页Journal of Electronics & Information Technology

基　　金：江苏省自然科学基金(BK2004151)资助课题

摘　　要：该文通过对视频压缩过程进行建模,利用比特流中的量化信息和运动信息,建立了量化噪声和运动估计噪声模型,并考虑成像过程的加性噪声,总的噪声模型对不同的量化器可自适应调整。以Huber-Markov随机场作为图像的先验模型,用梯度下降法进行MAP超分辨率重建,对其特性进行了分析。仿真实验表明,该算法重建图像的主、客观质量较高。This paper models the process of video compression, DCT quantization noise and motion estimation noise with exploiting the quantization step size and motion information embedded in the bit-stream. Together with the additive noise term of imaging, the proposed total noise term adaptively adjusts for different quantizers. With a Huber-Markov Random Field （HMRF） as the prior model, the gradient descent algorithm and MAP super-resolution reconstruction are presented and their performances are also analyzed. Simulation results show that proposed algorithm obtains better objective and subjective performances.

关 键 词：压缩视频 超分辨率重 MAP DCT量化噪声 运动估计噪声 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]